Learning& Insights.
Deep dives into modern observability, system architecture, and how we're building the future of telemetry management.
ArticleArticleOne unified data lake vs. a fragmented stack
The Grafana LGTM stack (Loki, Mimir, Tempo) spreads every signal across separate backends you must wire together and tune. CtrlB takes the opposite bet: one pipeline, one query language, one open storage format. Here's a point-by-point comparison of why the unified approach wins. Both platforms…
Adarsh SrivastavaCo-Founder / CEO
ArticleArticleTurning Telemetry into Reliability Targets the Business Can Trust
A field guide for OpenTelemetry-native organizations that want service level objectives their engineers and their leadership can both stand behind. In the years I have spent building and overseeing reliability programs at scale, one lesson has held up better than any other. The hardest part of a…
Adarsh SrivastavaCo-Founder / CEO
ArticleArticleCtrlB or Datadog: Which Log Management Platform Should You Choose?
Take Control of Your Telemetry with CtrlB: Petabyte-scale observability on open standards, no vendor lock-in, no surprise bills. 1 / 8 Data Searchability 2 / 8 Billing Model 3 / 8 OpenTelemetry Integration 4 / 8 Query Language 5 / 8 Index Storage Efficiency (5 TB) 6 / 8 Cost Predictability…
Adarsh SrivastavaCo-Founder / CEO
BenchmarkBenchmarkFinding the Needle. CtrlB vs. ClickHouse, 8 Ways.
Eight WHERE … LIMIT 100 queries on a 5 TB log table — CtrlB vs. ClickHouse on identical hardware. CtrlB wins all 8 patterns, 2.2× to 99× faster, with a 17× smaller index.
Adarsh SrivastavaCo-Founder / CEO
ArticleArticleUnlocking Headless Observability: The Power of MCP
Picture this: PagerDuty just woke you up. The billing service is throwing 500 errors, and customer checkouts are failing. What is your next move? If you are like most engineers, you are about to open a dozen tabs. You’ll pull up your logging platform, your tracing tool, maybe a security…
Adarsh SrivastavaCo-Founder / CEO
ArticleArticleArchitecture Deep Dive: Why CtrlB’s LSM Approach Outperforms MergeTrees for Observability.
Introduction ClickHouse is a remarkable piece of engineering. Its MergeTree engine has rightfully earned its place as the gold standard for OLAP, processing billions of rows to answer analytical questions like "What was the average revenue last quarter?" with incredible speed. However,…
Adarsh SrivastavaCo-Founder / CEO
ArticleArticleWe Raised $2.5M Seed Funding to build the Future of Search
CtrlB, the next-gen data lake for observability helping modern engineering and security teams take control of their telemetry data, announced that it has raised USD 2.5 million in a Seed funding round led by Chiratae Ventures. The round includes participation from Equirus, InnovateX Fund, Campus…
Adarsh SrivastavaCo-Founder / CEO
ArticleArticleOptimizing Kubernetes Observability with CtrlB’s Schema-Agnostic Ingestion
Kubernetes observability generates chaos. Every pod, container, and service emits logs, traces, and metrics, each in different formats. Connecting those fragments into a clear picture often feels like trying to trace a single drop of water in a storm. Most observability stacks solve this by…
Adarsh SrivastavaCo-Founder / CEO
ArticleArticleResilient Architectures for Cloud-Native Log Handling
Your cloud-native service just scaled to hundreds of containers. Each one is generating logs. Your logging pipeline? It just crashed. Welcome to cloud-native logging in 2025, where the challenge isn’t collecting logs, it’s surviving the flood of data without breaking your infrastructure. The…
Adarsh SrivastavaCo-Founder / CEO
ArticleArticleEvolving Observability Standards in Multi-Cloud Architectures
As more organizations adopt multi-cloud strategies to use the best services from each provider and avoid being locked into one vendor, observability has become one of the biggest challenges in managing modern infrastructure. Monitoring apps across AWS, Azure, Google Cloud, and on-premise…
Adarsh SrivastavaCo-Founder / CEO
ArticleArticleOptimizing Ingestion from Diverse Sources in Unified Data Lakes
Data is everywhere today, in apps, servers, devices, and cloud platforms. To make sense of it all, businesses need a single place to store and access this data. That’s why many use a data lake: a central system that can handle massive amounts of data in different formats. But here’s the real…
Adarsh SrivastavaCo-Founder / CEO
ArticleSimranCost-Effective Telemetry Scaling with CtrlB’s Cloud Object Storage
Observability isn’t just about insight anymore, it’s about cost. As systems scale, telemetry (logs, traces, metrics) becomes one of the fastest-growing expenses for engineering teams. Platforms like Datadog and New Relic make it easy to get started, but hard to sustain. You pay for ingestion,…
Adarsh SrivastavaCo-Founder / CEO
ArticleArticleSustainable Practices in Large-Scale Log Data Management
As organizations generate ever-increasing volumes of log data, the environmental impact of storing and processing this information has become a critical concern. Modern observability stacks consume substantial computational resources, contributing significantly to an organization’s carbon…
Adarsh SrivastavaCo-Founder / CEO
ArticleSimranOptimizing Observability for Edge Computing Environments
Why Observability at the Edge Matters Edge computing pushes data processing closer to where it’s generated factories, retail stores, autonomous vehicles, and IoT devices. This reduces latency and bandwidth costs but also creates a new layer of operational complexity. Traditional observability…
Adarsh SrivastavaCo-Founder / CEO
ArticlesimranDetecting Node-Hopping Attackers: Correlating Traces and Logs at Sub-Second Speed
Introduction Modern cyberattacks rarely stop at a single system. Once inside, attackers often move laterally, jumping between machines and services, in search of sensitive data or admin access. This tactic is known as node-hopping or lateral movement. Detecting these attackers is not easy. Each…
Adarsh SrivastavaCo-Founder / CEO
ArticleArticleBeyond Index‑Only: Building Tiered Observability with CtrlB
What’s Wrong With the Old Way of Logging? For years, the default way to handle logs has been simple: collect everything, index everything, and hope your search engine can keep up. This “index-only” mindset made sense when log volumes were small. But today’s systems generate terabytes daily, and…
Adarsh SrivastavaCo-Founder / CEO
ArticleArticleIndex Is Just One Tool: Why Observability Needs Multiple Storage Patterns
TL;DR: Indexes are great, but they’re not a religion. At a modern scale, “index everything” slows writes and bloats storage. Observability works best when multiple storage patterns work together. A single index can’t handle every need. Durable object storage keeps all data safe and complete. Small,…
Adarsh SrivastavaCo-Founder / CEO
ArticleArticleFrom Alert to Action: Incident Response in a Search‑First World
Introduction In today’s fast-changing, cloud-based systems, developers and SREs deal with more moving parts than ever. Systems are highly distributed. Logs and traces grow rapidly. Alerts come in constantly, often missing key context. Teams use too many disconnected tools and must run complicated…
Adarsh SrivastavaCo-Founder / CEO
ArticleArticleImmutable Audit Trails: How CtrlB Helps You Prove What Happened
In cloud-native apps, logs are the source of truth. They record errors, user actions, and security events. If logs can be edited or deleted, you lose trust. You also lose proof. That’s why immutable audit trails and tamper-proof logs are vital. CtrlB is built to lock your records in place. Why…
Adarsh SrivastavaCo-Founder / CEO
ArticleArticleCold Storage Doesn’t Have to Be Cold: How CtrlB Keeps Your Old Logs Lively
Ever feel like searching old logs means digging through a dusty basement? Imagine you're on a midnight debug mission, trying to find a clue in last year’s logs. The process is slow, messy, and a little frustrating. In most setups, “cold” log storage is exactly that, pushed aside to save money, but…
PradyumanSenior Software Engineer
ArticleArticleWhen Logs Lie: The Risk of Blind Trust in Ingested Data
Developers and IT professionals rely on logs every day to understand what’s happening in their systems. We treat logs as the diaries of our infrastructure, if nothing alarming appears there, we assume all is well. But what if the logs themselves are misleading or incomplete? Blindly trusting…
Adarsh SrivastavaCo-Founder / CEO
ArticleArticleBreaking Up with Pipelines: Why CtrlB’s On-Demand Ingestor Changes the Game
“Dear Pipelines, It’s not me, it’s you. I can’t handle your rigidity anymore. You cost too much, and honestly, you never change. I’ve found someone new for on-demand ingest. They understand me, they scale with me, and they don’t drain me 24/7”. Introduction Extract-Transform-Load (ETL) pipelines…
Adarsh SrivastavaCo-Founder / CEO
ArticleArticleThe Silent Threat of Stale Logs: Why Retrieval Speed Matters
In today’s DevOps and security environments, logs are the backbone of observability, but only if they’re fresh. Stale logs (delayed, incomplete, or hard to retrieve) hide what’s really happening in your systems. They create blind spots, slow down incident response, and leave room for attackers or…
Adarsh SrivastavaCo-Founder / CEO
ArticleArticleSchemaless Logging: The Future of Scalable, Cloud-Native Observability
Logging has come a long way. It started with plain text files, easy to write, but hard to search or analyze. Then came structured logging, using formats like JSON, which made logs easier to filter and read. After that, schema-based logging became common. Logs had to follow a fixed format, which…
Adarsh SrivastavaCo-Founder / CEO
ArticleArticleLog Search Built for Developers
What Makes Traditional Log Search Hard for Developers? Today’s log search is often a tangled mess of dashboards, cryptic filters, and tool overload. Developers bounce between multiple panels, write fragile regex patterns, and still struggle to uncover what went wrong in production. Most log tools…
Adarsh SrivastavaCo-Founder / CEO
ArticleArticleHow to Optimise Queries in CtrlB
Logs are messy, especially in cloud-native systems where structure is an afterthought. CtrlB was built for that reality; its schema-less, on-demand data lake lets you search anything. But just because you can throw everything into a query doesn't mean you should. Query optimisation isn’t about…
Adarsh SrivastavaCo-Founder / CEO
ArticleArticleData Strategy for SREs: Usability Over Cleanliness
In cloud-native environments, teams collect massive volumes of logs, traces, and metrics. But when a service goes down or a user reports a critical bug, that data often becomes noise. The issue isn’t a lack of information; it’s a lack of context. Legacy observability stacks are built to collect…
Adarsh SrivastavaCo-Founder / CEO
ArticleArticleUnstructured Data at Scale: Why Real-World Data Is Messy and How to Make It Useful
The Reality of Unstructured Data Most data today isn’t neatly organized in tables. Instead, it comes as logs, emails, chat messages, API payloads, and sensor streams. This information is valuable, but doesn’t follow a set format, making it hard to search or analyze. Logs are a great example. Every…
Adarsh SrivastavaCo-Founder / CEO
ArticleArticleThe Dashboard Trap: Why Graphs Aren’t Enough
Dashboards are great. They help teams monitor system health, track key metrics, and spot when things start to go off track. When latency spikes or error rates rise, a good dashboard shows you when it started and often where. Mature teams build them thoughtfully and rely on them daily. But…
Adarsh SrivastavaCo-Founder / CEO
ArticleArticleThe Cloud Dilemma: Balancing Observability at Scale
Modern engineering teams face a fundamental tension: cloud observability promises deep insight, but achieving it often forces trade-offs. Such dilemmas can hamper visibility or agility unless you rethink the architecture. CtrlB’s unified observability data lake is designed to eliminate the…
Adarsh SrivastavaCo-Founder / CEO
ArticleArticleControl Plane: One Plane To Control Them All
Modern cloud environments generate massive volumes of telemetry (logs, metrics, traces) from every service and host. Each tool often requires its agent (e.g., Fluent Bit, Prometheus exporter, Splunk UF), which leads to the deployment and configuration of dozens or hundreds of collectors. In…
PradyumanSenior Software Engineer
ArticleArticleBeyond Observability: Real-time Debugging in the age of cloud native
Tldr: Most observability vendors are collecting data to surface insights later. CtrlB, through MCP and live instrumentation, enables asking new questions on the fly, something traditional observability just doesn’t accommodate. In short, Live debugging isn’t talked about enough in observability…
Adarsh SrivastavaCo-Founder / CEO
ArticleArticleHow To Turn Log Noise Into Real Signals
Logs are loud. Your systems shouldn’t be. In any production system, logs are everywhere: APIs, background workers, frontend proxies, and downstream services. And when they all start shouting at once? The hard part of observability isn’t getting logs in or storing them, it’s making sense of them…
Adarsh SrivastavaCo-Founder / CEO
ArticleArticleThe Role of AI in Observability: Hype or Hope?
Applications today aren’t just a few servers with predictable traffic; they’re made up of hundreds of moving parts, spread across clouds, running on Kubernetes, and changing constantly. Observability has always been about one thing: clarity. But in the age of microservices, Kubernetes, and…
Adarsh SrivastavaCo-Founder / CEO
ArticleArticleObservability Is Not Just Three Pillars
We’ve all heard it: Observability has three pillars: logs, metrics, and traces. That’s how you know it was a marketing person. Somewhere along the way, someone even decided Observability needed a versioning system. And if you’ve been around long enough, you’ve also heard we’re in “Observability…
Adarsh SrivastavaCo-Founder / CEO
ArticleArticleMicroservices Logging: The Power of Distributed Tracing
When teams transitioned from monoliths to microservices, debugging didn’t become easier; it became messier. Every service now generates its own logs. However, when a single user request traverses six different services across various containers or clusters, those logs do not naturally connect. You…
Adarsh SrivastavaCo-Founder / CEO
ArticleArticleWhy Disk-Less Data Lakes Are the Future
Let’s face it, working with logs and large-scale data systems can be a real grind. If you’ve ever stared at a spinning loader bar after hitting “search” or wondered why your storage bill looks like a phone number, you’re not alone. The tools we’ve used for years just aren’t keeping up. Traditional…
Adarsh SrivastavaCo-Founder / CEO
ArticleArticleFrom S3 Chaos to Unified Insights
Observability is a growing cost centre for most engineering teams. The more you scale, the more logs you generate. And while storage has gotten cheaper, most observability tools haven’t kept up. To save money, many teams send logs to cold storage like S3 after a few days. It’s cheap, sure, but not…
Adarsh SrivastavaCo-Founder / CEO
ArticleArticleLogs as Data: Why CtrlB Treats Raw Logs Like a Data Lake
In today’s cloud-native world, logs have grown beyond simple debugging tools; they’re now a valuable source of deep operational insight. At CtrlB, we see things differently. Logs are not just debugging artefacts; they are raw, untapped data. And we treat them with the same design principles you’d…
Adarsh SrivastavaCo-Founder / CEO
ArticleObservabilityTips to save egress cloud costs
In today's cloud-driven world, managing costs is a critical aspect of running an efficient and profitable business. One of the often overlooked yet significant components of cloud expenditure is egress costs—charges incurred when data is transferred out of the cloud provider's network to another…
Adarsh SrivastavaCo-Founder / CEO
ArticleObservabilityHow to route Kubernetes logs using FluentD?
Logs are critical for understanding what is occurring inside your Kubernetes cluster. Even while most apps come with a native logging mechanism, users in distributed and containerized environments (such as Kubernetes) will benefit from a centralized logging solution. That is because they must…
Adarsh SrivastavaCo-Founder / CEO
ArticleDataPower of Observability Pipelines: Understanding Their Role and Impact on Organisational Efficiency
Introduction The observability pipeline is a pivotal instrument in the modern digital landscape, orchestrating the seamless flow of telemetry data by aggregating, processing, and routing it effectively. Its multifaceted role extends across crucial domains like observability, security, and…
Adarsh SrivastavaCo-Founder / CEO
ArticleObservabilityUnraveling the Mysteries of Digital Footprints: Understanding Traces in the Digital World
Introduction In the vast expanse of the digital realm, traces echo the essence of reality, mirroring its significance. They encapsulate the intricate dance of capturing and documenting the essence of application execution. These traces serve as invaluable guides, illuminating the path toward…
PradyumanSenior Software Engineer
ArticleObservabilityCracking the Code: Understanding High Cardinality in Metrics
Introduction In our increasingly data-driven landscape, metrics serve as invaluable guides, offering intricate insights into the performance of systems and processes. They empower us to make well-informed decisions, driving efficiency and innovation across various domains. However, the true power…
PradyumanSenior Software Engineer
ArticleObservabilityThe High Costs of Observability: Uncovering the Burden on Modern Systems
Unveiling the Expense of Observability Having immersed myself in this domain for more than three years, I’ve continually pondered the enigma of observability’s steep costs. Is it truly necessary for observability tools to incur such significant expenses in both operation and upkeep? In my quest…
PradyumanSenior Software Engineer
ArticleDataWhen should you prefer CtrlB over self-hosting Elastic or Loki?
In the landscape of log management solutions, the choices can seem endless, each with its own set of advantages and drawbacks. Among these options, self-hosted platforms like Elastic and Loki have gained significant traction, offering users control and customization over their logging…
Adarsh SrivastavaCo-Founder / CEO
ArticleDataWhy archiving old data is a bad idea?
The idea of runaway expenses may give you the chills if you handle massive amounts of log data. The expense of storing your hot data is too high, and accessing your cold storage is too challenging. So now you have to make tradeoffs like reducing visibility into your older logs to save some bucks.…
Adarsh SrivastavaCo-Founder / CEO
ArticleObservabilitySeparating storage and compute - holy grail to cut down costs
Conventional databases are engineered to minimize data transport and query latency by distributing computational tasks across local nodes. This storage-compute connected design becomes problematic as data quantities and needs for real-time analysis increase. In a business environment where "cost"…
Adarsh SrivastavaCo-Founder / CEO
ArticleArticlehello world
Hi folks, Just wanted to type << hello world >> and announce that we are building something very interesting to help you cut down your observability bills. Stay tuned!
Adarsh SrivastavaCo-Founder / CEO
ArticleDataWhy are legacy observability solutions so expensive?
In the realm of modern system management, observability has emerged as a crucial concept, enabling organizations to gain deep insights into the performance and behavior of their applications and infrastructure. However, despite its undeniable benefits, it often comes with a hefty price tag. Today…
Adarsh SrivastavaCo-Founder / CEO
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